Executive Education


Big data is one of the buzzwords in today’s business world. Since computers became more and more central to modern commerce, businesses have access to large amounts of data, for example, on their customers or transactions. This gives companies the opportunity to extract useful information using statistical and machine learning methods in order to gain a competitive advantage. The big internet companies are the obvious examples, but the topic is also especially relevant for the financial industry (like with credit analysis, fraud detection, insurance and robo-advising). In many areas these new technologies will disrupt existing business models. The course will focus on the analysis of Big Data, and how it can be used for prediction, for example bankruptcies or stock prices. The course will focus on supervised learning techniques such as regression and classification.

Upon completion of this course, students will be able to:

  • Practically analyze large-scale business data using machine learning techniques
  • Apply basic methods for analyzing data in R
  • Apply what they have learned to real finance data
  • Use statistical methods for strategic decision making

Any questions?

Get in touch!

Ludmila Ketterer

 +49 69 798 33512


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Key Concepts

Machine learning

Regression and classification

Supervised and unsupervised learning

Data analysis in R

Course Format

This course is offered in the part-time Master in Finance program and may be attended on a “no credit” basis by individuals not enrolled in the program.

Course participants are visitors who are not responsible for assignments and do not take an exam or earn academic credits. As the number of seats in the course is limited, we recommend to register online early.


Assoc. Prof. Dr. Steffen Juranek

Steffen Juranek works at the Department of Business and Management Science at Norwegian School of Economics since 2017. He received his Ph.D. from Goethe University in 2012. His research focuses on the organization of firms and markets, and the role of intellectual property for firm strategy, financing and taxation. Steffen taught courses on statistics, management control, innovation management and intellectual property rights.


Key Facts

Course materials

Course materials will be provided in electronic form.




Campus Westend of Goethe University Frankfurt.

Certificate of participation

A GBS certificate of participation is awarded upon completion of the course.

Course Fee

€ 1,900 (fee is exempt from VAT). The fee for GBS students or alumni amounts to € 800.

Course Schedule
Date Session
Fri., April 5, 2024 13:00-15:00, 15:30-17:30
Sat., April 6, 2024 09:00-11:00
Fri., April 19, 2024 18:00-20:00
Sat., April 20, 2024 11:30-13:30, 14:30-16:30
Fri., May 3, 2024 13:00-15:00, 15:30-17:30
Sat., May 4, 2024 09:00-11:00
Fri., May 17, 2024 18:00-20:00
Sat., May 18, 2024 11:30-13:30, 14:30-16:30

There are two main things which make returning for Open Programs such a valuable and worthwhile experience. The first is being back on campus – meeting the current students, returning to campus again, the whole experience was just so pleasant. The second is the level of quality in the courses – the faculty teaching are absolute experts.

Stephan KieneDuke-Goethe Executive MBA Class of 2009

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